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Application

Digital Loads Forecasting

Model data centers and digital infrastructure as explicit, probabilistic projects — capturing whether the load materializes, when it energizes, how it ramps, and how it behaves from seconds to planning years.

Draws onData Center SimulatorDemand SimulatorDistribution System SimulatorMarket Simulator

The problem

Digital Load Doesn't Extrapolate From History

A 200 MW data center is not a trend. It is a project with a realization probability, an energization date that may slip, a ramp-up, and an operating shape unlike any load on the system today. Treating it as growth on a curve gets both the timing and the size wrong.

Realization
01
Realization probability
02
Energization date and delay distribution
03
Load realization factor and ramp-up

Realization

Whether, When, and How Much

Each digital-load scenario carries a project realization probability, an energization date with anticipated delays, a load realization factor, and a ramp-up trajectory through startup. Uncertainty is carried explicitly rather than collapsed into a single expected value.

  • Realization probability
  • Energization date and delay distribution
  • Load realization factor and ramp-up

Operating shape

Seconds to 8760 Hours

Short-term profiles capture ramps, variability, operating transitions, and backup events relevant to local grid impacts. Long-term profiles represent annual operating shape, load factor, hourly coincidence with weather, and the timing of impacts across planning years.

Platform role

One Assumption, Three Engines

A digital-load scenario enters the demand simulator as a load modifier, the distribution simulator as a feeder-level input, and the market simulator as a price and congestion driver — one assumption, propagated consistently.

Building a shared view of the future grid.

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